# 江哥AI落地实战 (@9548721097) on xiaohongshu

- id: koinon:creator:xiaohongshu_9548721097
- url: https://koinonlink.com/kol/xiaohongshu/9548721097
- schema_version: 1.4

## Identity
- platform: xiaohongshu
- handle: 9548721097
- platform_url: https://www.xiaohongshu.com/user/profile/60e52d12000000000100055b
- website: xhsdiscover://rn/declare/my-evaluation?userid=60e52d12000000000100055b&activeTabName=poi&activeTabId=0
- country: China
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 5000
- posts_observed: 3
- verified: false
- size_tier: nano

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0
- category_source: derived_from_discovery_path
- topics: 企业AI Agent落地方法论, RAG与企业知识库优化, 本体在智能问数中的应用, FDE实战能力与项目经验, Claude Code、Codex、LangChain等工具实战, 传统行业AI转型路径
- bio: 🎓 西电 × 早稻田双硕⼠ | AI 创业者 | FDE 
🎯 专注成长型企业 AI Agent ⼯程化落地
📖 分享项⽬实战经验 | 落地⽅法论 | 创业心路
🤝 服务全国 | 企业 AI 项⽬合作：apexlj

## Audience (inferred)
- status: present
- description: Technical leads and frontline implementers in growing enterprises responsible for engineering AI Agent deployment
- roles: automation
- seniority: practitioner
- pain_points: Messy and inconsistent business data structures and definitions, making it hard for Agents to interpret data, Poor RAG retrieval performance, leading to inaccurate responses or knowledge base usage, The bottleneck for AI adoption isn't model capability—it's business understanding and requirement validation, As Agent capabilities grow, the need to retain human oversight increases, making it hard to balance automation with risk control
- posts_analysed: 42
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: platform_default
- credibility_score: 40
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [xiaohongshu_9548721097#2031dbf7] 智能问数，真的只是把问题扔给大模型吗？ / 智能问数，真的只是把问题扔给大模型吗？ (https://www.xiaohongshu.com/user/profile/60e52d12000000000100055b)
- [xiaohongshu_9548721097#886bce7d] #AI[话题]# #企业AI落地[话题]# #Agent[话题]# #智能问数[话题]# #本体[话题]#
- [xiaohongshu_9548721097#bdf21b4e] 智能问数不是：
- [xiaohongshu_9548721097#5b087478] 用户提问 → 大模型写 SQL / claude code高手在用的技巧 / claude code高手在用的技巧 #ClaudeCode[话题]# #AI[话题]# #AI技巧[话题]# #AI编程[话题]# / 豆包工作 vs WorkBuddy，到底该怎么选？ / 豆包工作 vs WorkBuddy，到底该怎么选？
- [xiaohongshu_9548721097#9f8c62d4] #AI[话题]# #企业AI落地[话题]# #Agent[话题]# #豆包工作[话题]# #WorkBuddy[话题]#
- [xiaohongshu_9548721097#fd4274f8] 内容区核心干货
- [xiaohongshu_9548721097#2e79a466] 豆包工 / RAG 到底怎么保证它搜得准？大白话讲清楚 / RAG 到底怎么保证它搜得准？大白话一次讲清楚
- [xiaohongshu_9548721097#0b87436d] #AI[话题]# #企业AI落地[话题]# #Agent[话题]# #RAG[话题]# #企业知识库[话题]#

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=56, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=56, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=56, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=98, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=56, method=Fixed value 58, pending engagement collection. Not a measurement. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=98, method=llm_partner_fit_classifier + fit_score >= 0.5 => A; >= 0.35 => B; else C. authenticity is not an input. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=98, method=platform_profile

## Freshness
- profile_checked_days_ago: 98
- content_analysed_days_ago: 56
- audience_updated_days_ago: 56

## AI retrieval
- indexing_requests: 6
- user_triggered_requests: 1
- last_user_triggered_day: 2026-09-01
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=xiaohongshu_9548721097
- Request removal: https://koinonlink.com/claim?k=xiaohongshu_9548721097
- Terms: https://koinonlink.com/for-ai